Triple
T20060316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screwed Up |
E499452
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Lil Fate |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lil Fate | Statement: [Screwed Up, performer, Lil Fate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Fate Context triple: [Screwed Up, performer, Lil Fate]
-
A.
Lil Fate
chosen
Lil Fate is an American rapper best known for his frequent collaborations with Ludacris and appearances with the Disturbing tha Peace crew.
-
B.
Lil Murda
Lil Murda is a fictional Southern rapper and complex love interest on the TV series "P-Valley," known for his closeted sexuality and emotional storyline.
-
C.
Nasty C
Nasty C is a South African rapper, songwriter, and record producer known for his versatile flow and prominent role in the African hip-hop scene.
-
D.
Fetty Wap
Fetty Wap is an American rapper and singer best known for his 2015 hit single "Trap Queen" and his melodic, trap-influenced style.
-
E.
Lil Freak
"Lil Freak" is a 2010 R&B/hip-hop single by Usher featuring Nicki Minaj, known for its sultry club sound and provocative lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66374f4a48190beb575a6c84ebdb4 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.